Product overview
The BWSENSING BW-MINS327 is a packaged micro inertial navigation system intended for unmanned aircraft, robots, platform stabilization and vehicle applications. Its sensing specifications cover a gyroscope and an accelerometer with X, Y and Z axes. Processing features include Kalman filtering and a dedicated bias-tracking algorithm for drift elimination. The packaged unit measures 60 mm long, 59 mm wide and 29 mm high. Electrical integration requires a 9–36V DC supply, with selectable RS232, RS485, TTL and Modbus output options.
The BW-MINS327 specifies dynamic attitude accuracy of 0.3° and static accuracy of 0.01°, with measurement ranges of ±90º in pitch and ±180º in roll. Heading retention accuracy is 0.1°/60s, and accelerometer range is ±1.8 g on all three axes. Operation spans -40℃ to +85℃ with temperature compensation. Accelerometer bias stability is 0.001mg at 25℃, 100s, 1σ, and 0.01mg at 25℃, 10s, 1σ. Gyroscope bias stability across the full temperature range is 15°/h under the stated 10s, 1σ conditions.
Specifications
| Specification | Value & conditions |
|---|---|
| Manufacturer and model | BWSENSING BW-MINS327 micro inertial navigation system |
| Dynamic attitude accuracy | 0.3° |
| Static attitude accuracy | 0.01° |
| Attitude measurement range | Pitch ±90º; roll ±180º |
| Heading retention accuracy | 0.1°/60s |
| Gyroscope resolution | 0.01°/sec |
| Gyroscope bias stability | 15°/hFull temperature range; 10s, 1σ. |
| Angular random walk coefficient | Less than 0.1 °/√h |
| Accelerometer measurement range | ±1.8 gX, Y and Z axes. |
| Accelerometer bias stability at 100s | 0.001mg25℃, 100s, 1σ. |
| Accelerometer bias stability at 10s | 0.01mg25℃, 10s, 1σ. |
| Supply voltage | 9–36V DC |
| Interfaces and protocol | RS232 / RS485 / TTL / ModbusSelectable output options. |
| Temperature range | -40℃ to +85℃With temperature compensation. |
| Dimensions | L60 × W59 × H29 mmPackaged product. |
| Bias tracking | Dedicated bias-tracking algorithm for drift elimination |
| Filtering | High-performance Kalman filter algorithm |
| Applications | Unmanned boats and underwater vehicles; robots; platform stabilization; large vessels; automated guided vehicles; automated and driverless operation; special-purpose vehicles; unmanned aircraft |
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